Issue's Topics: SMB Announces Recipients of its 2017 Awards for Established Scientists Special Issue of BMB: Maths to Support Drug Discovery & Development Conference: BAMM! Biology and Mathematics through Medicine, May 18-20 Course: MBL Methods in Computational Neuroscience, Apply by March 7 EMBO Practical Course: Multi-level modelling of morphogenesis NIMBioS Tutorial: Uncertainty Quantification for Biological Models CfP: 17th CMMSE Conference, July 4-8, Cadiz Workshop: Statistical Analysis of Neural Data, May 31-June 2 WIREs Syst Biol Med Content Alert: 9, 2 (March/April 2017) BBSRC-iCASE 4 Year PhD Studentship, University of Cambridge PhD Position: Ecology or Computational Science, Umeå University PhD Position: Population and/or Community Ecology, UNB Saint John Postdoc: Mathematical Modelling, Roslin Inst, University of Edinburgh Postdoc Position: Computational Biology, Systems Medicine, FIAS SMBnet Reminders
From: Santiago Schnell <firstname.lastname@example.org> Date: Tue, Feb 21, 2017 at 3:43 PM Subject: SMB Announces Recipients of its 2017 Awards for Established Scientists
The Society for Mathematical Biology is pleased to announce the recipients of its 2017 Society Awards for established mathematical biologists. These individuals will be honored at the 2017 Annual Meeting of the Society for Mathematical Biology, to be held at the University of Utah in Salt Lake City from July 17-20. The awardees are listed below:
Philip K. Maini, University of Oxford, will receive the Arthur T. Winfree Prize for his work on mathematical modelling of spatiotemporal processes in biology and medicine, which has led to significant scientific advances not only in mathematics, but also in biology and the biomedical sciences. His mathematical oncology research has provided detailed insight into the design of combination cancer therapies.
Raymond Mejia, National Heart, Lung, and Blood Institute, will be the inaugural recipient of the Distinguished Service Award for his extraordinary service to the Society for Mathematical Biology, including the establishment, development, and editorship of the Society for Mathematical Biology Digest.
James P. Keener, University of Utah, will be the inaugural recipient of the John Jungck Prize for Excellence in Education for his authorship of the textbook "Mathematical Physiology," which has attracted numerous students, postdoctoral fellows, and established scientists to the field of mathematical biology. He has also worked to create an exceptional pedagogical environment conductive to mathematical biology at the University of Utah.
Stacey D. Finley, University of Southern California, will be the inaugural recipient of the Leah Edelstein-Keshet Prize for her outstanding contributions to mathematical oncology, particularly for her studies on anti-VEGF treatment strategies in cancer that combine mathematical models and experiments. Her work has the potential to make a significant impact on the development of drugs to target angiogenesis in a wide range of conditions.
The Presidents of the Society for Mathematical Biology and Past and Current Editor-in-Chief of the Bulletin of Mathematical Biology will be named inaugural Fellows of the Society. The Society for Mathematical Biology Fellows Program honors members of the Society who are recognized by the scientific and scholarly community as distinguished contributors to the discipline.
The Society for Mathematical Biology promotes the development and dissemination of research and education at the interface between the mathematical and biological sciences. The Society serves a diverse community of researchers and educators in academia, in industry, and in government agencies throughout the world. Through its awards program, the Society honors its members and recognizes excellence in mathematical biology. For more information on these awards, the Society, or the 2017 Annual Meeting, visit http://www.smb.org.
From: Moore, Helen <Helen.Moore@bms.com> Date: Mon, Feb 20, 2017 at 11:39 PM Subject: Special Issue of BMB: Maths to Support Drug Discovery & Development
Special Issue of BMB: Mathematics to Support Drug Discovery and Development
The Bulletin of Mathematical Biology (BMB, http://rd.springer.com/journal/11538), the official journal of the Society for Mathematical Biology, publishes research articles at the interface of biology and the mathematical sciences. With the encouragement of the editors (Alan Hastings and Reinhard Laubenbacher), we are soliciting original research articles for contribution to a special issue of BMB focusing on the mathematics being used in the biopharmaceutical (biopharma) industry. The goal of the issue is to help bridge the gap between academia and the biopharma industry working in similar areas, by communicating some of the types of mathematics used in biopharma. Article submissions are requested by June 30, 2017, with completion of reviews, acceptances/rejections, and any needed revisions by December 31, 2017.
We hope this issue will: help academics in math biology ground their research in problems with real need; highlight biopharma as an exciting career for mathematicians who want to see direct impact of their work on patients; and help foster industrial and academic collaborations in this field. Preference will be given to submissions that identify, either directly or as a future challenge, areas for academic and industrial collaboration. We encourage you to provide sufficient context to your submission as to how the research presented improves the discovery or development of new therapies, and the open challenges related to the research that academic groups could be better suited to undertake. We are especially interested in having original methodological articles.
Please let us know by Wednesday, March 15, 2017 if you are interested in submitting a research article for consideration in this BMB special issue, and what topic it would be on. Feel free to email us with questions before then. We hope you will be able to participate.
This Biomath conference will be held at Virginia Commonwealth University in Richmond, VA from Thursday, May 18 to Saturday, May 20, 2016. The conference will consist of plenary talks, break-out sessions, and a poster session. We welcome participation from researchers at all academic levels working in mathematical biology. Travel award funding from SMB has been secured. Additional funding is pending.
Abstract submissions are dues soon!
Confirmed plenary speakers: Shandelle Henson (Andrews University) Gregory Forest (University of North Carolina, Chapel Hill) Linda Allen (Texas Tech University) Doron Levy (University of Maryland, College Park)
Important Dates: Abstract Submission Deadline 3/1/2017 Registration Deadline 4/10/2017
Organizing Committee: David Chan, Laura Ellwein, Cheng Ly,Reed Ogrosky, Angela Reynolds, Suzanne Robertson, and Rebecca Segal
From: Mark Steven Goldman <email@example.com> Date: Fri, Feb 17, 2017 at 1:56 AM Subject: Course: MBL Methods in Computational Neuroscience, Apply by March 7
Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 30 to August 24, 2017, and the online application form can be found at:
The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/
2017 Course Directors: Michale Fee, MIT Mark Goldman, UC Davis
2017 Confirmed Faculty: Larry Abbott, Columbia University Steve Baccus, Stanford University Carlos Brody, Princeton University Emery Brown, MIT Dmitri Chklovskii, Simons Foundation Uri Eden, Boston University Bard Ermentrout, University of Pittsburgh Adrienne Fairhall, University of Washington Ila Fiete, UT Austin Loren Frank, UCSF Stefano Fusi, Columbia University Jack Gallant, UC Berkeley Surya Ganguli, Stanford University Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, University of Southern California Jonathan Pillow, Princeton University Cristina Savin, NYU Terry Sejnowski, Salk Institute Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Josh Tenenbaum, MIT Xiao-Jing Wang, NYU
From: Catherine Crawley <firstname.lastname@example.org> Date: Fri, Feb 17, 2017 at 12:13 PM Subject: NIMBioS Tutorial: Uncertainty Quantification for Biological Models
**Mar 1 Deadline Approaching**
The National Institute for Mathematical and Biological Synthesis (NIMBioS) is now accepting applications for its Tutorial, "Uncertainty Quantification for Biological Models," to be held June 26-28, 2017, at NIMBioS.
Objectives: This tutorial will focus on uncertainty quantification in mathematical models in the life sciences and will provide researchers with the basic concepts, theory, and algorithms necessary to quantify input and response uncertainties and to perform sensitivity analysis for simulation models. Concepts to be covered may include: probability and statistics, parameter selection techniques, frequentist and Bayesian model calibration, propagation of uncertainties, quantification of model discrepancy, adaptive surrogate model construction, high-dimensional approximation, random sampling and sparse grids, as well as local and global sensitivity analysis. This tutorial is intended for graduate students, postdocs and researchers in mathematics, statistics, computer science and biology.
Location: NIMBioS at the University of Tennessee, Knoxville
Co-Organizers: Marisa Eisenberg, School of Public Health, Univ. of Michigan; Ben Fitzpatrick, Mathematics, Loyola Marymount Univ.; James Hyman, Mathematics, Tulane Univ.; Ralph Smith, Mathematics, North Carolina State Univ.; Clayton Webster, Computational and Applied Mathematics (CAM), Oak Ridge National Laboratory; Mathematics, Univ. of Tennessee
Participation in NIMBioS tutorials is by application only. Individuals with a strong interest in the topic are encouraged to apply, and successful applicants will be notified within two weeks after the application deadline. If needed, financial support for travel, meals, and lodging is available for tutorial attendees.
Application deadline: March 1, 2017
The National Institute for Mathematical and Biological Synthesis (NIMBioS) (http://www.nimbios.org) brings together researchers from around the world to collaborate across disciplinary boundaries to investigate solutions to basic and applied problems in the life sciences. NIMBioS is sponsored by the National Science Foundation, with additional support from The University of Tennessee, Knoxville.
Partial travel support is available. Any young investigator interested in presenting their work as a talk should submit an abstract by MARCH 6. Requests for travel support are due MARCH 20. Please see our website: http://sand.stat.cmu.edu
This workshop series is concerned with analysis of neural data of all kinds, ranging from anatomy to electrophysiology, to neuroimaging. It aims to define important problems in neuronal data analysis and useful strategies for attacking them; foster communication between experimental neuroscientists and those trained in statistical and computational methods encourage young researchers, including graduate students, to present their work; and expose young researchers to important challenges and opportunities in this interdisciplinary domain, while providing a small meeting atmosphere to facilitate the interaction of young researchers with senior colleagues. We are especially interested in attracting to this workshop people wishing to learn more about challenges in the analysis of neural data who are females, under-represented minorities, or persons with disabilities. The organizers are Emery Brown, Elizabeth Buffalo, Rob Kass, Liam Paninski, Sri Sarma and Jonathan Victor.
From: Sara-Jane Dunn <Sara-Jane.Dunn@microsoft.com> Date: Wed, Feb 15, 2017 at 5:34 AM Subject: BBSRC-iCASE 4 Year PhD Studentship, University of Cambridge
BBSRC-iCASE 4 Year PhD Studentship, University of Cambridge
"Decoding the network logic for resetting pluripotency"
· Interdisciplinary project at the interface of stem cell research and computational modelling · Delineation of network trajectories for cellular reprogramming at single cell resolution · Combination of wet lab research with mathematical modelling · Collaboration between the laboratory of Prof Austin Smith (Wellcome Trust Medical Research Council Stem Cell Institute) and Microsoft Research Cambridge
From: Åke Brännström <email@example.com> Date: Tue, Feb 21, 2017 at 4:51 PM Subject: PhD Position: Ecology or Computational Science, Umeå University
The Department of Ecology and Environmental Science at Umeå University invites applications for a PhD position developing dynamical models for the study of climate impacts on northern lake ecosystems. The applicant can have a background in either ecology, mathematics, or related fields. For more information, see https://umu.mynetworkglobal.com/en/what:job/jobID:133564/where:4/
The position will start on May 1, 2017, but this can be negotiated. The deadline for application is March 9, 2017.
From: Jeff Houlahan <firstname.lastname@example.org> Date: Thu, Feb 16, 2017 at 10:16 AM Subject: PhD Position: Population and/or Community Ecology, UNB Saint John
Ph. D. position with Jeff Houlahan's lab in the Department of Biological Sciences/The Canadian Rivers Institute, University of New Brunswick Saint John (UNB Saint John).
The Houlahan lab is looking for a Ph.D. student interested in fundamental questions in population and/or community ecology to begin in the fall of 2017 (although later start dates could be negotiated). We are happy to hear from students with a wide range of interests - some examples of topics include (i) the relationship between diversity and stability, (ii) the relative importance of density dependent effects on population dynamics, and (iii) the stability of competitive hierarchies in nature but we are less concerned about the question than the approach. The approach would involve developing theoretical and/or statistical models that would then be tested on new data (see Houlahan et al. 2017 in Oikos) to assess the predictive ability of those models and how predictive ability changes over time and space. The successful applicant will have strong quantitative skills, and more particularly, be somebody who is comfortable analyzing data and modeling in something like R or Python. Students will have an opportunity to improve their analytical and modeling skills, become better grounded in basic ecology theory, and improve writing, logical thinking and problem-solving abilities. We are interested in ecology, environmental science, computer science and/or mathematics students. Funding of at least $21,000/year is guaranteed for 4 years and comes from TA'ships, RA'ships and scholarships.
The University of New Brunswick is a comprehensive university with campuses in Saint John and Fredericton, New Brunswick, Canada with approximately 10,000 students. The Houlahan lab is part of the Department of Biological Sciences and The Canadian Rivers Institute at the Saint John campus. This is a vibrant department with a focus on aquatic and marine biology and more than 50 graduate students. Saint John is a small (pop $ 68,000) attractive, coastal city in southern New Brunswick.
If you are interested in the position drop me a note at email@example.com and attach your cv, transcripts (unofficial or official) and 3 references with contact info.
From: LYCETT Samantha <firstname.lastname@example.org> Date: Thu, Feb 16, 2017 at 5:46 AM Subject: Postdoc: Mathematical Modelling, Roslin Inst, University of Edinburgh
Postdoctoral position in mathematical modelling of evolutionary and epidemiological consequences of vaccination in livestock
We are seeking a highly motivated postdoctoral research fellow to develop a predictive quantitative framework for assessing the short- and long-term effectiveness of vaccination programmes in domestic livestock. The successful candidate will be responsible for developing mathematical models that combine field and experimental data in order to predict potential evolutionary and epidemiological consequences of vaccination in farm animals.
The post is available at The Roslin Institute of the University of Edinburgh in Scotland, under the supervision of Drs. Andrea Doeschl-Wilson and Samantha Lycett. The Roslin Institute is part of the University of Edinburgh's College of Medicine and Veterinary Medicine, and is internationally renowned for its multi-disciplinary research in animal health.
The advertised position is part of the European Horizon2020 project SAPHIR: Strengthening Animal Production and Health through the Immune Response http://www.h2020-saphir.eu/ The successful candidate will thus interact with other group members and external collaborators from a variety of backgrounds, such as computational statistics, quantitative and molecular genetics, immunology and animal or veterinary science, and will be expected to present the work to an international audience.
The post-holder must have a PhD in a scientific discipline with a substantial quantitative component (e.g. mathematics, statistics, theoretical or computational biology, or physics), together with evidence of skills in mathematical modelling and writing scientific publications. Extensive knowledge in R or other programming languages is required. The ideal candidate will have experience in modelling biological or ecological processes and a strong interest in infectious disease dynamics, be autonomous, organised and collaborative and also possess strong problem solving skills.
The position is full-time (100%) and available for a minimum of 16 months, with an anticipated starting date of August 2017.
From: Esteban Vargas <email@example.com> Date: Mon, Feb 20, 2017 at 4:10 PM Subject: Postdoc Position: Computational Biology, Systems Medicine, FIAS
Postdoc Position in Computational Biology
The new group of Systems Medicine at the Frankfurt Institute for Advanced Studies invites applications for a PostDoc position in Computational biology.
· Analyze clinical and experimental data from collaborators using machine learning and bioinformatics approaches.
· Publish research findings in scientific journals and present them at major scientific meetings.
· A PhD degree in a quantitatively-oriented field, such as engineering, computer science or applied mathematics.
· Excellent command of English.
· Knowledge in analytical and quantitative methods.
· Experience in MATLAB or R, and LaTex.
· Knowledge of immunology is a plus.
Please send questions or your application with a motivation letter, outlining your interest in the position, along with your curriculum vitae which should include the names and contact details of three referees, to
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